motor-imagery

There are 7 repositories under motor-imagery topic.

DeepBCI / Deep-BCI
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
bci brain cognitive deep-learning eeg erp motor-imagery nirs open-source ssvep
Language:C 375
SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
eeg-data motor-imagery-tasks cnns convolutional-neural-networks esi tensorflow python eeg eeg-signals eeg-analysis eeg-classification motor-imagery motor-imagery-classification motor-imagery-training brain-com brain-computer-interface matlab tensorflow-models tensorflow-experiments
Language:Python 186
Altaheri / EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
attention classification convolutional-neural-networks eeg motor-imagery multi-head-self-attention temporal-convolutional-network
Language:Python 154
zhangks98 / eeg-adapt
Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".
eeg motor-imagery cnn deep-learning
Language:Python 76
drwuHUST / TLBCI
Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."
motor-imagery brain-computer-interface transfer-learning
Language:MATLAB 68
edw4rdyao / eeg_mi_dl
A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).
cnn eeg mne-python braindecode moabb eeg-signals-processing gcn motor-imagery-classification bci bci-systems eeg-classification motor-imagery transformer
Language:Jupyter Notebook 48
chamwen / MEKT
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)
bci transfer-learning motor-imagery rsvp data-alignment
Language:MATLAB 42
zabir-nabil / eeg-rsenet
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
eeg classification neural-net biosignal signal-classification rse-net random-subspace-ensemble eeg-classification eeg-matlab matlab-eeg-classification motor-imagery eeg-neural-networks motor-imagery-eeg random-subspace-ensemble-network
Language:Jupyter Notebook 37
High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification
Official code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper
brain-computer-interface bci motor-imagery pytorch classification
Language:Python 35
IoBT-VISTEC / Decoding-EEG-during-AO-MI-ME
The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)
eeg-classification eeglab eeg-data bci motor-imagery
Language:Python 33
orvindemsy / BCICIV2a-FBCSP
Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python
bci common-spatial-pattern motor-imagery brain-computer-interface python
Language:Jupyter Notebook 33
chaklam-silpasuwanchai / Python-for-EEG
A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.
alpha asymmetry canonical-correlation-analysis deep-learning eeg emotion machine-learning motor-imagery neural-network p300 python ssvep
Language:Jupyter Notebook 21
ABaldrati / AugmentBrain
In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named EEGNet.
eeg data-augmentation neural-networks hci bci motor-imagery
Language:Python 20
chaklam-silpasuwanchai / EEG-Real-Time-Applications
EEG BCI Real-Time Applications: Contains real-time demonstrations of BCI applications
bci eeg p300 signal-processing motor-imagery ssvep
Language:Jupyter Notebook 20
mauricio-ms / motor-imagery
Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem
motor-imagery eeg eeg-classification csp fbcsp scssp bci brain-computer-interface subject-independent-bci biomedical-signal-processing katz-fractal-dimension fractal-dimension mi-bci eeg-signals motor-imagery-classification
Language:Jupyter Notebook 19
Pooria90 / EEG-Motor-Imagery-Analysis
The codes that I implemented during my B.Sc. project.
deep-learning eeg-signals motor-imagery eegnet shallow-convnet deep-convnet pytorch
Language:Python 18
comojin1994 / DFformer
Towards Domain Free Transformer for Generalized EEG Pre-training
deep-learning eeg eeg-analysis eeg-classification eeg-signals motor-imagery motor-imagery-classification motor-imagery-eeg pre-trained-model pytorch self-supervised-learning sleep-eeg sleep-stage-classification transfer-learning transformer
Language:Python 16
martinwimpff / channel-attention
brain-computer-interface channel-attention eeg motor-imagery
Language:Python 15
Baizhige / EEGResearchHub
A trusted repository for groundbreaking EEG research code. Some peer-reviewed algorithms (such as EEG data augmentation techniques, EEG classification models) to push the boundaries of neuroscience.
bci deep-learning eeg data-augmentation motor-imagery
Language:Python 13
Ahmed-Habashy / Dataset-BCI-competition-iv-2b
This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.
ai eeg eeg-classification eeg-signals machine-learning motor-imagery motor-imagery-classification motor-imagery-eeg motor-imagery-tasks
Language:Python 12
mauricio-ms / motor-imagery-deep-learning
Implementation of Convolutional Recurrent Neural Network (CRNN) to decode motor imagery EEG data.
eeg motor-imagery deep-learning bci motor-imagery-classification
Language:Python 12
RezaSaadatyar / SSVEP-based-EEG-signal-processing
This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
brain-computer-interfaces small-laplacian large-laplacian common-average-reference power-spectral-density-analysis fast-fourier-transform multivariate-synchronization-index filter-bank-cca fusing-canonical-coefficients-of-ccas canonical-correlation-analysis spatial-filtering eeg steady-state-visually-evoked-potentials steady-state-auditory-evoked-potentials steady-state-somatosensory-evoked-potentials motor-imagery event-related-potential steady-state-evoked-potentials convert-gdf-data-to-mat
Language:Jupyter Notebook 12
tomazas / itc2017
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
convolutional-neural-network motor-imagery feature-map image-classification fft-energy-maps
Language:MATLAB 12
gzoumpourlis / Ensemble-MI
PyTorch code for "Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training"
bci deep-learning eeg eegnet motor-imagery physionet
Language:Python 11
anthonyesp / channel_selection
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
brain-computer-interface channel-selection eeg matlab motor-imagery signal-processing wearable
Language:MATLAB 9
James-Mc1ntyre / DeepLearningProject
Using Deep Learning techniques to classify Motor Imagery Electroencephalography (EEG) signals
deep-learning electroencephalography motor-imagery motor-imagery-classification convolutional-neural-networks keras machine-learning neural-network transfer-learning classification cnn tensorflow
Language:Jupyter Notebook 9
MIBCI-QCNNs
eneriz-daniel / MIBCI-QCNNs
This repo contains the source code of the project "FPGA implementation of BCIs using QCNNs" submitted to the Xilinx Open Hardware Design Competition 2021.
bci motor-imagery eeg eegnet hls qcnns cnns
Language:Jupyter Notebook 8
JohnBoxAnn / TSGL-EEGNet
eeg bci-systems cnn-keras motor-imagery
Language:Python 8
catalinamagalvan / PySimMIBCI
Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
brain-computer-interface data-augmentation-strategies eeg motor-imagery simulation
Language:Jupyter Notebook 7
martinwimpff / eeg-otta
distribution-shift test-time test-time-adaptation brain-computer-interface eeg motor-imagery
Language:Python 7
mikaelhaji / MotorImagery
Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
brain-computer-interface neuroimaging motor-imagery motor-imagery-classification
Language:Jupyter Notebook 7
bustios / res
This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.
motor-imagery-classification frequency-band-selection motor-imagery
Language:Python 6
caee / MIDroneControl
OpenViBE BCI paradigm for controlling a drone
bci brain-computer-interface mi motor-imagery openvibe eeg drone control dtu taranis
Language:C++ 5
okbalefthanded / aawedha
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
deep-learning brain-computer-interface eeg machine-learning benchmark erp ssvep motor-imagery
Language:Python 3
BanaanKiamanesh / Ultimate-BCI-Design
Research on Brain Computer Interfaces.
bci brain-computer-interface eeg machine-learning matlab motor-imagery ssvep-bci
Language:MATLAB 1
HarlockOfficial / MsThesisProject
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
dataset-augmentation deep-learning deep-neural-networks eeg eeg-classification latex motor-imagery motor-imagery-classification motor-imagery-eeg python3 thesis thesis-project university university-project websockets submodules
Language:Python 1

motor-imagery

DeepBCI / Deep-BCI

SuperBruceJia / EEG-Motor-Imagery-Classification-CNNs-TensorFlow

Altaheri / EEG-ATCNet

zhangks98 / eeg-adapt

drwuHUST / TLBCI

edw4rdyao / eeg_mi_dl

chamwen / MEKT

zabir-nabil / eeg-rsenet

High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classification

IoBT-VISTEC / Decoding-EEG-during-AO-MI-ME

orvindemsy / BCICIV2a-FBCSP

chaklam-silpasuwanchai / Python-for-EEG

ABaldrati / AugmentBrain

chaklam-silpasuwanchai / EEG-Real-Time-Applications

mauricio-ms / motor-imagery

Pooria90 / EEG-Motor-Imagery-Analysis

comojin1994 / DFformer

martinwimpff / channel-attention

Baizhige / EEGResearchHub

Ahmed-Habashy / Dataset-BCI-competition-iv-2b

mauricio-ms / motor-imagery-deep-learning

RezaSaadatyar / SSVEP-based-EEG-signal-processing

tomazas / itc2017

gzoumpourlis / Ensemble-MI

anthonyesp / channel_selection

James-Mc1ntyre / DeepLearningProject

eneriz-daniel / MIBCI-QCNNs

JohnBoxAnn / TSGL-EEGNet

catalinamagalvan / PySimMIBCI

martinwimpff / eeg-otta

mikaelhaji / MotorImagery

bustios / res

caee / MIDroneControl

okbalefthanded / aawedha

BanaanKiamanesh / Ultimate-BCI-Design

HarlockOfficial / MsThesisProject